Transferability of the Deep Learning Mask R-CNN Model for Automated Mapping of Ice-Wedge Polygons in High-Resolution Satellite and UAV Images

State-of-the-art deep learning technology has been successfully applied to relatively small selected areas of very high spatial resolution (0.15 and 0.25 m) optical aerial imagery acquired by a fixed-wing aircraft to automatically characterize ice-wedge polygons (IWPs) in the Arctic tundra. However,...

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Veröffentlicht in:Remote sensing (Basel, Switzerland) Jg. 12; H. 7; S. 1085
Hauptverfasser: Zhang, Weixing, Liljedahl, Anna K., Kanevskiy, Mikhail, Epstein, Howard E., Jones, Benjamin M., Jorgenson, M. Torre, Kent, Kelcy
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 28.03.2020
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ISSN:2072-4292, 2072-4292
Online-Zugang:Volltext
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